Applied AI & Data Science Diploma
The Netherlands' first private AI and data science diploma programme at NLQF Level 6 — the most complete path to becoming a data analyst, data scientist, or AI developer.
- Duration
- 78 weeks (624 hours)
- Time per week
- 8 hours
- Courses
- 23 courses
Who this is for
This fits you if
- Working professionals from any background who want to build a career in data or AI.
Another option may suit you better if
- You need results within a few months. Look at a single bootcamp.
- You do not need a diploma at NLQF Level 6, comparable to bachelor level. A certificate course is quicker and cheaper.
- You want to be done within a few months. This programme runs for 78 weeks. In Personal training you set your own pace, but a single bootcamp is the faster route.
Not sure? Plan a free study advice call
Prerequisites
- Secondary education or equivalent work experience is sufficient.
What you'll learn
- Apply Python, SQL, and modern AI frameworks to real-world data problems.
- Build and deploy machine learning and deep learning models.
- Design end-to-end data pipelines and analytical workflows.
- Evaluate AI systems for reliability, bias, and ethical considerations.
- Communicate data insights to technical and non-technical audiences.
The program
Multiple courses of a few weeks each, building on one another.
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1
Data Fundamentals Course
3 weeksBuild your foundation in data: the landscape, the tools and the statistics behind every data role. The starting point for the Data & Analytics, Data Science and Data Engineering bootcamps.
Taught by Patrick Pisani
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2
Data Storytelling Course
3 weeksLearn to present data in a compelling way that sticks. This course teaches you the most important strategies to visualize and communicate your data effectively.
Taught by Fatemeh Ghaderinezhad, Steven Nijman
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3
Microsoft Excel Essentials Course
3 weeksMaximize your efficiency in using Microsoft Excel. This Essentials course covers all basic functionality and is specially designed to help you increase your productivity with large datasets.
Taught by Lucia Riscado Cordas
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4
Data Visualization with Power BI Course
3 weeksDo you struggle with making data understandable and impactful? Our course teaches you data visualization skills with hands-on experience building dashboards in Power BI.
Taught by Ben Galili
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Final Assignment: Data Analytics
3 weeksThe closing module of the Data & Analytics Bootcamp — apply everything you've learned to a real, practical data analytics project.
Taught by Lucia Riscado Cordas
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5
Programming with Python Course
3 weeksDo you want to leverage Python, the leading programming language for data scientists, to perform powerful calculations on large datasets?
Taught by Nicholas Kosmicki
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6
Machine Learning with Python Course
3 weeksLearn how to build machine learning models in Python. This course covers common libraries, Pandas, and Scikit-Learn to build your own ML models.
Taught by Akos Steger
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7
Deep Learning with Python Course
3 weeksDive into the fundamentals of neural networks, covering architectures like CNNs, RNNs, and transformers for image recognition, NLP, and advanced AI applications.
Taught by Johanna Ott
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Final Assignment: Data Science
3 weeksThe closing module of the Datascience bootcamp — apply everything you've learned to a real, practical data science project.
Taught by Akos Steger
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8
SQL Foundations Course
3 weeksLearn the fundamentals of SQL for working with structured data. Covers advanced techniques including subqueries, window functions, and CTEs.
Taught by Lucia Riscado Cordas
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9
Fundamentals of a Data Stack Course
3 weeksDo you work extensively with data and want to elevate your skills? Learn to use essential tools that streamline data processing, save time, and enable you to work independently.
Taught by Ali Hurriyetoglu
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10
Azure Data Fundamentals Course
3 weeksWant to build a solid foundation in cloud data management with Microsoft Azure? Learn to work with Azure services for data storage, processing, and analytics.
Taught by Ali Hurriyetoglu
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Final Assignment: Data Engineering
3 weeksThe closing module of the Data Engineering Bootcamp — apply everything you've learned to a real, practical data engineering project.
Taught by Sabine Joseph
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11
AI Fundamentals Course
3 weeksThe foundation course for every AI professional. Understand what AI is, how large language models work, and how to apply generative AI in your own field.
Taught by Patrick Pisani
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12
AI Literacy & Ethics Course
3 weeksExplore the ethical, legal, and social implications of AI including the EU AI Act. Learn to evaluate and design responsible AI strategies.
Taught by Hanan ElNaghy
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13
Vibe Coding with Lovable Course
3 weeksThe way we build software has fundamentally changed. In this hands-on course you'll learn to describe what you want to build and let AI do the heavy lifting — no coding background required.
Taught by Marta Strykowska
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14
Building AI Agents Course
3 weeksBuild your own AI agents, no coding needed. Learn to design agents that perceive, reason, act, and remember, then build and automate them with no-code tools like n8n and Claude.
Taught by Marek Durcek
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15
Retrieval-Augmented Generation (RAG) Course
3 weeksLearn RAG, a cutting-edge technique that enhances LLMs with external knowledge. Combine vector databases with LLMs to build accurate, grounded AI applications.
Taught by Akos Steger
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Final Assignment: Applied AI
3 weeksThe closing module of the Applied AI Bootcamp — apply everything you've learned to a real, practical AI project.
Taught by Sabine Joseph
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16
Engineering AI Solutions on Azure Course
3 weeksLearn to work with Azure to design, develop and deploy AI-powered solutions including NLP, Generative AI, and Computer Vision.
Taught by Akos Steger
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17
Building AI Agents with LangChain Course
3 weeksLearn LangChain, a powerful framework for building applications with large language models. Connect models to external data sources and build custom AI agents.
Taught by Rohit Kumar Singh
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18
Programming with AI (Claude Code) Course
3 weeksAI-assisted development is the new normal. In this hands-on course you'll learn to direct Claude Code as an agentic coding tool inside a real repository — from context engineering to spec-driven, production-ready delivery.
Taught by Tristan Bains
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Final Assignment: AI Engineering
3 weeksThe closing module of the AI Engineering Bootcamp — apply everything you've learned to a real, practical generative AI project.
Taught by Ali Hurriyetoglu
What a week looks like
Every course in this bootcamp runs for 3 weeks, and every week looks like this.
8 hours per week
5 hours
Self-study
Course material and exercises on our learning platform, whenever suits you.
1 hour
Live with your teacher
A fixed moment every week, online or at Science Park. Small group, so you get to participate.
2 hours
On your own work
Do the assignment on your own data and your own situation. No exercise files.
Teachers for this bootcamp
Patrick Pisani
Data Analytics and Business Intelligence
Patrick is a data analyst with experience across finance, tech, and government, including forecasting models at Just Eat Takeaway.com. He teaches data and AI fundamentals courses.
Courses in this bootcamp
Fatemeh Ghaderinezhad
AI Transformation and Strategy
Fatemeh holds a PhD in statistics and founded a consultancy helping SMEs through AI transformation. She teaches Data Storytelling.
Courses in this bootcamp
Steven Nijman
Data Storytelling and Visualisation
Steven has a background in data journalism and teaches data storytelling and visualization, focused on turning raw data into clear narratives.
Courses in this bootcamp
Lucia Riscado Cordas
Data Visualisation and Storytelling
Lucia runs a data-visualization practice and teaches Microsoft Excel Essentials and SQL, combining analysis with design.
Courses in this bootcamp
Ben Galili
Python, SQL, Power BI, AI Agents
Ben has broad industry experience including eBay and Dell, and teaches across Python, SQL, Power BI, data storytelling, and AI agents in the Analytics and Data Engineering bootcamps.
Courses in this bootcamp
Nicholas Kosmicki
Programming with Python
Nicholas is a Data Science Manager at Mews, leading a data products team, and teaches Programming with Python.
Courses in this bootcamp
Akos Steger
RAG, Language Technology, Deep Learning
Akos trained originally as a linguist before moving into AI and language technology, and now teaches machine learning, RAG, deep learning, and language-technology courses.
Courses in this bootcamp
Johanna Ott
Deep Learning and Computer Vision
Johanna is a Senior Deep Learning Engineer building computer vision for medical screening, and teaches machine learning, Python, and deep learning courses.
Courses in this bootcamp
Ali Hurriyetoglu
Data Engineering and Data Stack
Ali holds a PhD plus degrees in cognitive science and computer engineering, and teaches data pipeline, data stack, and AI model courses, drawing on academic teaching experience at METU and Radboud University.
Courses in this bootcamp
Sabine Joseph
Machine Learning and Data Science
Sabine holds a PhD in cognitive neuroscience from UCL and has worked at Microsoft, Accenture, and Reed building machine learning and recommender systems.
Hanan ElNaghy
AI Literacy, Machine Learning, Python
Hanan holds a PhD in computer vision and is an Assistant Professor in Cairo alongside her work here. She teaches AI literacy and ethics, machine learning, Python, and prompt engineering.
Courses in this bootcamp
Marta Strykowska
Vibe Coding and AI Native Apps
Marta has over a decade building digital products and now focuses on AI-native app development. She teaches Vibe Coding.
Courses in this bootcamp
Marek Durcek
AI Agents for Marketing and Sales
Marek is an AI and automation consultant who designs practical automations around existing workflows, and teaches Building AI Agents.
Courses in this bootcamp
Rohit Kumar Singh
AI Engineering and LangChain
Rohit spent nine years at IBM building production AI systems, including RAG pipelines and LangChain applications on Azure and AWS, and teaches AI Engineering and LangChain app-building.
Courses in this bootcamp
Tristan Bains
Head of Technology
Tristan builds the technology behind the academy: our learning platform, the automations that keep everything running, and the adaptive learning work that personalises how you move through a programme.
Courses in this bootcamp
Choose your format
The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.
With your team
Most affordable per person from four participants.
- From four participants
- Built around your own cases
- On location or remote
- Subsidy often possible
In a group
The usual way: you share the teacher with a few others and follow a fixed schedule.
- Fixed start date, fixed schedule
- Small group of fellow students
- Shared teacher
Individual
For anyone who prefers to work at their own pace.
- Start whenever you want
- Your own pace and planning
- Teacher just for you
- Personal guidance
Flexible payment
Payment options
Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.
Option 1
Through your employer
We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.
Option 2
With a government contribution
A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.
Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.
Option 3
Paying yourself
Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.